Blogs

Post a Comment

Spelling "big data integration" from enterprise alphabet soup

March 14, 2014

When it comes to talking about big data technology, there's a big bowl of alphabet soup to digest:  noSQL, EDW, HBASE, ETL, BI, ERP, JAQL and many others. Don't "Pig" out on the soup to the point where you break out in "Hives"—join us as we discuss the technology issues and help you understand what's needed to integrate big data.

In this #BigDataMgmt Twitter chat we will identify common data sources and technologies that are used in big data integration projects, and discuss techniques, processes and best practices.

Our special guests for the chat are John Myers (@johnlmyers44), senior analyst for EMA’s business intelligence and data warehousing practice; David Corrigan (@dcorrigan), director of product marketing for IBM InfoSphere and James Kobielus, IBM big data evangelist, speaker and writer. Twitter handle @IBMbigdata will be moderating the chat.

You can follow along and join the discussion using the hashtag #BigDataMgmt. Here are the questions we’ll be discussing, as well as reference articles to help inspire the conversation on Wednesday, March 19, 12:00 p.m. EST.

#BigDataMgmt chat questions

  1. It may seem straightforward to some, but not to all: Why is data integration important for big data projects?
  2. There’s an alphabet soup of data source types: noSQL, HBASE, mongoDB, Hive and PIG, just to name a few. And that’s likely to continue to grow, as will the expense of custom development required to keep up with them all. So,
    how can organizations support these sources efficiently and cost-effectively?
  3. There’s more alphabet soup in the platforms already in IT shops: EDW, BI, ERP, CRM and more. Which platforms are most often connected for big data projects?
  4. Can big data and analytics be integrated with these other technologies and processes, or will it create another silo?
  5. Is having a Hadoop distribution the same thing as having a data integration solution?
  6. Is this data integration and data flow one way from Hadoop to the EDW, or vice versa?
  7. What critical capabilities are needed to make big data projects successful?
  8. What advice do you have for people and organizations about to undertake a big data integration project?

Related Resources

Featured Guests

John_Myers.jpg
 
John Myers (@johnlmyers44) is senior analyst of the business intelligence (BI) and data warehousing practice areas at Enterprise Management Associates, where he delivers comprehensive coverage of the tech industry with a focus on database management, data integration, data visualization, and process management solutions. He speaks internationally on the topics of telecom analytics, data virtualization and Big Data. John is also considered one of the Top 100 Big Data Influencers in 2012 and 2013.

David Corrigan (@dcorrigan) is director of product marketing for IBM InfoSphere, which comprises the information integration and governance technology. A frequent speaker at conferences and on webcasts and podcasts, David has helped hundreds of companies understand that they need a strong, underlying foundation for information management to achieve their business objectives.

James Kobielus (@jameskobielus) is IBM Senior Program Director of Product Marketing and IBM's big data evangelist. He is an industry veteran, a popular speaker and social media participant and a thought leader in big data, Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management and next best action technologies.

What is #BigDataMgmt chat?

#BigDataMgmt chat is a weekly conversation every Wednesday at 12:00 p.m. ET, on Twitter. Each week we discuss a different topic around big data management.

How do you join in?

If you use a Twitter client like Tweetdeck or HootSuite, create a search column for the term ‘#BigDataMgmt’.  Then as participants tweet with the #BigDataMgmt hashtag, those tweets will appear in your column. Or you can follow with Tweetchat – http://tweetchat.com/room/bigdatamgmt – and it automatically adds the #BigDataMgmt hashtag.

How do you participate?

Just jump right in! Review the discussion questions posted in advance so you can prepare your thoughts and answers. When the question is posed, begin your response with A1: for question 1 and A2: for question 2, etc. This makes it easier to follow the conversation throughout the chat. No answer is wrong! We look forward to seeing you at the #BigDataMgmt water cooler hosted by @IBMbigdata.